Teams at Metyis

Lead client data governance implementation by identifying stakeholders and governance gaps, defining ownership and decision forums, facilitating business-technical workshops, and embedding governance into daily operations. The role translates ambiguous challenges into actionable approaches, develops reusable templates and playbooks, and collaborates with data, analytics, architecture, privacy, and security specialists. It requires stakeholder engagement, data governance or related experience, data platform understanding, and strong communication skills.

Lead client data governance implementation by identifying governance gaps, defining ownership roles, facilitating stakeholder workshops, translating ambiguous challenges into actionable approaches, and embedding governance into daily operations. Develop reusable templates, playbooks, and implementation accelerators while collaborating with data, analytics, architecture, privacy, security, and business consulting specialists.

Designs and governs scalable AI architecture across cloud, data, and application environments. Responsibilities include defining architectural standards, advising on AI solution design, overseeing integrations and deployments, monitoring infrastructure performance and costs, coordinating technical stakeholders, supporting specifications and acceptance testing, and mitigating technical risks. The role requires hands-on experience with cloud platforms, AI/ML systems, DevOps, data architecture, containers, CI/CD, infrastructure as code, and monitoring.